Fix INT8 CPU offload; publish memory audit and paired retests

.gitattributes

@@ -66,3 +66,50 @@ evaluation/young_woman/bf16/young_chinese_woman-s42.png filter=lfs diff=lfs merg
 evaluation/young_woman/int8/young_chinese_woman-s123.png filter=lfs diff=lfs merge=lfs -text
 evaluation/young_woman/int8/young_chinese_woman-s42.png filter=lfs diff=lfs merge=lfs -text
 processor/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+evaluation/audit/bf16-native-tiled/edit_native.png filter=lfs diff=lfs merge=lfs -text
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+evaluation/audit/int8-fixed/vae_roundtrip.png filter=lfs diff=lfs merge=lfs -text
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+evaluation/initial/bf16/edit-s42.png filter=lfs diff=lfs merge=lfs -text
+evaluation/initial/bf16/english_text-s123.png filter=lfs diff=lfs merge=lfs -text
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+evaluation/initial/young_woman/int8/young_chinese_woman-s123.png filter=lfs diff=lfs merge=lfs -text
+evaluation/initial/young_woman/int8/young_chinese_woman-s42.png filter=lfs diff=lfs merge=lfs -text

CHANGES.md

@@ -1,9 +1,16 @@
-# Modifications
-
-Modified by ixim / iximbox: eligible linear weights converted from Qwen-Image-2.1 to bitsandbytes LLM.int8 INT8. Built with Qwen. Non-commercial research/evaluation under the accompanying Qwen Research License.
-
-- Converted eligible transformer and text encoder linear layers to LLM.int8, threshold 6.0.
-- Retained sensitive projections, normalization, embeddings, vision model and VAE in floating point.
-- Re-serialized component weights, shard indexes and configs; no fine-tuning.
-- Weight-file headers and modified JSON files contain modification notices.
-- Exact quantized module names and dtype counts are in the component reports.
+# Modifications
+
+Modified by ixim / iximbox: eligible linear weights converted from Qwen-Image-2.1 to bitsandbytes LLM.int8 INT8. Built with Qwen. Non-commercial research/evaluation under the accompanying Qwen Research License.
+
+- Converted eligible transformer and text encoder linear layers to LLM.int8, threshold 6.0.
+- Retained sensitive projections, normalization, embeddings, vision model and VAE in floating point.
+- Re-serialized component weights, shard indexes and configs; no fine-tuning.
+- Weight-file headers and modified JSON files contain modification notices.
+- Exact quantized module names and dtype counts are in the component reports.
+
+## Runtime and evaluation correction, 2026-09-21
+
+- Added an instance-local bitsandbytes auxiliary-tensor offload workaround and sequential component loading in scripts/runtime.py.
+- Re-ran the paired evaluation in isolated processes with startup, loading and per-image memory records.
+- Preserved the initial evaluation and failed 1024px editing outputs; added controlled editing diagnostics and a paired 2048px retest with VAE tiling.
+- Model weights, quantization configuration and inference-file fingerprints are unchanged.

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+    "sha256": "a55b869ea85f6332b9dd3f4f9bbbb80c2e0b6bb8cab4e14ece0c6daf3807e2a4"
   },
   {
     "path": "scripts/provenance.py",
@@ -406,29 +886,44 @@
   },
   {
     "path": "scripts/quantize.py",
-    "size": 4301,
-    "sha256": "1d12d3acd9c8e4f41cdd83f4be54b56228e1721ddf45bcee2732ff68e9259488"
+    "size": 4212,
+    "sha256": "c61f7471d090b4db32f31143b21d14fbf14f6e9276ed308b528d3b03b576284c"
   },
   {
     "path": "scripts/release.py",
-    "size": 12517,
-    "sha256": "5dbd00f5d29be7f74c171352fedde6a4c2d807b359277b2b3bff401c0f5ddf0f"
+    "size": 12886,
+    "sha256": "720259a824d85fdaa65116452d47814899842cc0e36b36c2edaddac1482a9e58"
   },
   {
     "path": "scripts/report.py",
-    "size": 8179,
-    "sha256": "f33f8352a0b6561b8089b04d280f4082feb55de0c89250a0b02fc35639c94243"
+    "size": 8501,
+    "sha256": "b3fe8657cc76a3d8e77b6df6733729f9352d8a84d347b5f69fc7724eb8cedce7"
+  },
+  {
+    "path": "scripts/rerun_evaluation.py",
+    "size": 1827,
+    "sha256": "5c7c9b036f3af82a6036bdb8a666e08837c1b254d7886fde6aee28a2464d5b46"
+  },
+  {
+    "path": "scripts/runtime.py",
+    "size": 2979,
+    "sha256": "26db92afa7d5c72324080480abe52c8e677b899844b369d99ac895e9bb1fb71c"
   },
   {
     "path": "scripts/upload.py",
-    "size": 3674,
-    "sha256": "b46f2c8595e7aff91e1565a1f068ab9c32c85f9daab8cb5383f9e5ba3024fc4a"
+    "size": 3598,
+    "sha256": "7eb6574d2f7fb5e6d4e8bbd60f11e738696b6a93f8f7aac0f851e0fb0018f164"
   },
   {
     "path": "tests/__init__.py",
     "size": 0,
     "sha256": "e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855"
   },
+  {
+    "path": "tests/gpu_offload.py",
+    "size": 1637,
+    "sha256": "7f96a8b197c83c9e7ee3ab8d7fc4fbf67efa1f32572eb70759983ec966976d6d"
+  },
   {
     "path": "tests/gpu_roundtrip.py",
     "size": 1055,
@@ -454,11 +949,6 @@
     "size": 858,
     "sha256": "722994cc6aab6673498266d6414650a88837c331b261693f2c0eb98499cb3552"
   },
-  {
-    "path": "text_encoder-quantization.json",
-    "size": 19004,
-    "sha256": "602398ec933e151e3e71b5f3208500b376855b40d072f73340490e2a6e64f32b"
-  },
   {
     "path": "text_encoder/config.json",
     "size": 2487,
@@ -490,9 +980,9 @@
     "sha256": "d3fc335d23047182f40d458efec86a4b187a766e0d1639426b6a9b7ab5b1ab8a"
   },
   {
-    "path": "transformer-quantization.json",
-    "size": 9853,
-    "sha256": "d735fe2c5f2546f20d943cc0789a5f57950d945343871a8cade62ea9234996a7"
+    "path": "text_encoder-quantization.json",
+    "size": 19004,
+    "sha256": "602398ec933e151e3e71b5f3208500b376855b40d072f73340490e2a6e64f32b"
   },
   {
     "path": "transformer/config.json",
@@ -514,6 +1004,11 @@
     "size": 77984,
     "sha256": "96963ae89098cbfdb83fb09bfe0b91e34d8dfe812c65da5e1fbe452878a79ebe"
   },
+  {
+    "path": "transformer-quantization.json",
+    "size": 9853,
+    "sha256": "d735fe2c5f2546f20d943cc0789a5f57950d945343871a8cade62ea9234996a7"
+  },
   {
     "path": "upstream-verification.json",
     "size": 1439,

README.md

@@ -48,12 +48,13 @@ pip install -r requirements.txt
 
 ```python
 import torch
-from diffusers import QwenImage21Pipeline
+import sys
+from huggingface_hub import snapshot_download
 
-pipe = QwenImage21Pipeline.from_pretrained(
-    "ixim/Image21-INT8", dtype=torch.bfloat16,
-)
-pipe.enable_model_cpu_offload()
+model_dir = snapshot_download("ixim/Image21-INT8")
+sys.path.insert(0, model_dir)  # bundled, inspectable scripts/runtime.py
+from scripts.runtime import load_int8_pipeline
+pipe = load_int8_pipeline(model_dir, local_files_only=True)
 image = pipe(
     prompt='A neon sign reading "CREATE WITH LIGHT", rainy night',
     width=1024, height=1024, num_inference_steps=40,
@@ -64,9 +65,15 @@ image.save("output.png")
 ```
 
 The saved quantization configuration is detected automatically. Do not re-quantize
-these weights at load time. For editing, pass `image=PIL.Image.open("input.png")`.
+these weights at load time. For editing, use the 2048px retest recipe below, setting
+`width`, `height` and `output_resolution` together and enabling VAE tiling.
 For transparency, use the upstream RGBA prompt format and save PNG files.
 
+Use the bundled loader on the pinned runtime: it loads/offloads the two INT8
+components sequentially and moves their auxiliary tensors during model offload.
+Calling only `enable_model_cpu_offload()` leaves INT8 CUDA tensors resident in
+this tested stack. The helper does not change the checkpoint or quantization.
+
 ## Local evaluation
 
 14 paired outputs across 7 cases at 1024×1024 on an RTX 5090.
@@ -74,16 +81,81 @@ For transparency, use the upstream RGBA prompt format and save PNG files.
 | Metric | BF16 | INT8 |
 |---|---:|---:|
 | Weight files (decimal GB) | 33.116 | 18.632 |
-| Mean call latency (s) | 26.79 | 20.29 |
-| Maximum CUDA allocated memory (GiB) | 19.08 | 23.08 |
+| Mean call latency (s) | 26.44 | 20.21 |
+| Maximum CUDA allocated memory (GiB) | 19.08 | 12.09 |
+
+The table reports the complete rerun using the corrected offload helper. The
+initial result (19.08 GiB BF16 / 23.08 GiB INT8) exposed an offload compatibility
+bug, diagnosed below. Original measurements and failure samples are retained.
+
+### Memory audit and editing retest
+
+The initial benchmark called model CPU offload but did not verify auxiliary-tensor residency. With this pinned PyTorch/bitsandbytes stack, a parent module device move bypasses the child `Linear8bitLt.to()` method. The parameter moves to CPU while CB/SCB auxiliary references can remain on CUDA. About 13.51 GiB remained after apparent offload. `empty_cache()` cannot release live tensors.
+
+The bundled instance-local helper synchronizes auxiliary tensors during recursive device moves and loads the INT8 components sequentially. It changes neither weights nor generation settings. A nested-layer GPU regression fails without the helper and passes three exact-output round trips with it. All five full-model diagnostic outputs are byte-identical before/after the offload fix. All 32 newly generated formal-evaluation PNGs also match the initial run by SHA256.
+
+Each rerun precision/suite uses a fresh subprocess; the orchestrator waits for exit before starting the next. PID, board/process listings, zero-allocation startup and per-image baselines are recorded. The initial run did not capture a board-memory baseline, so historical external occupancy cannot be reconstructed. Its PyTorch allocated-memory metric is process-local; the fresh-process reproduction locates the excess inside the INT8 process.
+
+| Memory measurement (GiB) | BF16 | INT8 |
+|---|---:|---:|
+| Initial inference maximum | 19.081 | 23.080 |
+| Corrected rerun inference maximum | 19.081 | 12.087 |
+| Corrected rerun loading maximum | 0.000 | 9.335 |
+
+Loading and inference peaks are reported separately; these are allocated-memory measurements, not minimum supported GPU sizes. Desktop usage, CUDA context and allocator reservations require additional headroom. Only the RTX 5090 was tested.
+
+**Editing retest:** the fresh-process and repeated 1024px edits reproduce the original INT8 failure exactly. RGB input and disabling KV cache do not visibly fix the excessive contrast. A VAE-only round trip preserves the soft lighting. These controls narrow the problem but do not establish a root cause in the editing model/pipeline.
+
+At 1024px, enabling VAE tiling alone still produces excessive sharpening. At 2048px with the same tiling configuration, both BF16 and INT8 produce a red sweater while substantially preserving the soft lighting and natural skin texture. This controlled comparison supports resolution sensitivity in this editing case (including reference-image preprocessing). It does not identify a deeper model/pipeline cause or establish universal editing reliability.
+
+Diagnostic runs include instrumentation/cold starts and are not pooled into the latency averages.
+
+| Diagnostic image | Output (click to enlarge) |
+|---|---|
+| Shared input | [![Shared input](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/input.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/input.png) |
+| Fresh-process INT8, 1024px (failure reproduced) | [![Fresh-process INT8, 1024px (failure reproduced)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-original/edit_fresh.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-original/edit_fresh.png) |
+| 1024px RGB input (not improved) | [![1024px RGB input (not improved)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-original/edit_rgb.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-original/edit_rgb.png) |
+| 1024px KV cache off (not improved) | [![1024px KV cache off (not improved)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-original/edit_no_cache.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-original/edit_no_cache.png) |
+| VAE-only round trip (no diffusion editing) | [![VAE-only round trip (no diffusion editing)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-fixed/vae_roundtrip.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-fixed/vae_roundtrip.png) |
+| 1024px with VAE tiling (not improved) | [![1024px with VAE tiling (not improved)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-1024-tiled/edit_fresh.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-1024-tiled/edit_fresh.png) |
+
+**2048px paired editing retest, seed 42; default VAE tiling in both.**
+
+| BF16 | INT8 |
+|---|---|
+| [![BF16 2048](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/bf16-native-tiled/edit_native.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/bf16-native-tiled/edit_native.png) | [![INT8 2048](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-native-tiled/edit_native.png)](https://huggingface.co/ixim/Image21-INT8/resolve/main/evaluation/audit/int8-native-tiled/edit_native.png) |
+
+| 2048px diagnostic metric | BF16 | INT8 |
+|---|---:|---:|
+| CUDA allocated peak (GiB) | 26.513 | 21.647 |
+| Cold, instrumented call (s) | 233.80 | 213.56 |
+
+Both use the original 1024px reference, resized internally at `output_resolution=2048`. The prompt, seed, 40 steps, CFG=1 and KV cache match the failed case. This is one editing example, not evidence that all editing requests succeed. Fine details still drift.
+
+```python
+from PIL import Image
+pipe.vae.enable_tiling()
+image = pipe(
+    prompt="Change only the blue sweater to a red sweater. Preserve the same person, face, pose, lighting and background.",
+    image=Image.open("input.png"),
+    width=2048, height=2048, output_resolution=2048,
+    num_inference_steps=40, true_cfg_scale=1.0, use_kv_cache=True,
+    generator=torch.Generator("cpu").manual_seed(42),
+).images[0]
+image.save("edit.png")
+```
+
+The initial untiled 2048px diagnostic was stopped after denoising because decoding saturated the desktop GPU memory and stalled; it is not a completed quality/timing result.
+
+Evidence: [audit/summary.json](evaluation/audit/summary.json), [process-isolation.jsonl](evaluation/process-isolation.jsonl), [initial evaluation](evaluation/initial/report.md), [runtime helper](scripts/runtime.py), [GPU regression](tests/gpu_offload.py).
+
+Implementation references: [bitsandbytes 0.50.2 Linear8bitLt](https://github.com/bitsandbytes-foundation/bitsandbytes/blob/0.50.2/bitsandbytes/nn/modules.py), [pinned Diffusers offload implementation](https://github.com/huggingface/diffusers/blob/80c7ed262aeffbeb43ef13ae04baeb9b84515a69/src/diffusers/pipelines/pipeline_utils.py), [official model usage and native resolution](https://github.com/QwenLM/Qwen-Image-2.1).
 
-**Observed trade-off:** weights are smaller and average latency is lower in this
-run, but peak allocated GPU memory is **higher** with the tested INT8/offload stack.
-Do not use this checkpoint as evidence of lower-VRAM operation.
 
-**Editing limitation:** both BF16 and INT8 sweater-edit examples show substantial
+**1024px editing limitation:** both BF16 and INT8 sweater-edit examples show substantial
 oversharpening and contrast changes. Faithful preservation of the original image
-is not established. Both precisions also add unwanted footer text in the inspected
+is not achieved in those outputs; the separate 2048px retest above improves this case.
+Both precisions also add unwanted footer text in the inspected
 Chinese poster. See [qualitative observations](evaluation/qualitative.md).
 
 The comparison uses identical prompts, CPU random generators, seeds, resolutions,
@@ -92,17 +164,18 @@ Peak allocated/reserved memory are PyTorch CUDA statistics, not total board memo
 Timing includes prompt encoding, denoising, decoding and CPU transfers; it excludes
 model loading and image-file writing. Paired pixel differences measure drift, not
 semantic quality. This small suite is not a standardized quality ranking.
-BF16 was run first, followed by INT8 on the same Windows desktop GPU; repeated
-timing trials and confidence intervals were not collected.
+BF16 was run first, followed by INT8 on the same Windows desktop GPU. Each case/seed
+has one timed call after warmup in this rerun; no confidence interval is estimated.
 
 See [evaluation/report.md](evaluation/report.md), raw JSONL records, environment
 records and paired PNG outputs. The edit pair uses the exact same source image.
-Higher resolutions, extensive multi-reference editing, other GPUs, other attention
-backends, and ComfyUI compatibility are not established by this evaluation.
+The 2048px single-image editing diagnostic below is separate from the 1024px suite.
+Extensive multi-reference editing, other GPUs, other attention backends, and
+ComfyUI compatibility are not established by this evaluation.
 
 ### Evaluation scope and runtime
 
-The original suite has 14 pairs; the separate portrait supplement has 2 pairs. All 16 pairs / 32 original PNG images are shown below. Supplementary measurements are kept separate from the original summary average.
+The main suite has 14 pairs; the separate portrait supplement has 2 pairs. All 16 pairs / 32 original PNG images from these suites are shown below. Supplementary measurements are kept separate from the main summary average.
 
 All previews link to their full-resolution original PNG. Click an image to open it; no crop, retouching or regenerated substitute is used.
 
@@ -137,29 +210,29 @@ All previews link to their full-resolution original PNG. Click an image to open
 
 | Metric | BF16 | INT8 |
 |---|---:|---:|
-| Mean call latency (s) | 28.51 | 20.16 |
-| Maximum CUDA allocated (GiB) | 16.44 | 22.86 |
+| Mean call latency (s) | 27.61 | 19.51 |
+| Maximum CUDA allocated (GiB) | 16.44 | 9.53 |
 
 ### Per-image timing and memory
 
 | Case | Seed | BF16 s | INT8 s | BF16 allocated GiB | INT8 allocated GiB |
 |---|---:|---:|---:|---:|---:|
-| Older adult portrait | 42 | 29.77 | 19.65 | 16.40 | 22.86 |
-| Older adult portrait | 123 | 26.55 | 19.61 | 16.40 | 22.86 |
-| English lettering | 42 | 25.95 | 19.42 | 16.41 | 22.86 |
-| English lettering | 123 | 25.88 | 19.40 | 16.41 | 22.86 |
-| Chinese lettering | 42 | 25.47 | 19.54 | 16.41 | 22.86 |
-| Chinese lettering | 123 | 25.85 | 19.86 | 16.41 | 22.86 |
-| Counting and spatial arrangement | 42 | 25.38 | 19.13 | 16.41 | 22.86 |
-| Counting and spatial arrangement | 123 | 25.35 | 19.30 | 16.41 | 22.86 |
-| Feather and branch texture | 42 | 25.85 | 19.22 | 16.40 | 22.86 |
-| Feather and branch texture | 123 | 25.76 | 19.57 | 16.40 | 22.86 |
-| RGBA transparency | 42 | 26.04 | 19.39 | 16.40 | 22.86 |
-| RGBA transparency | 123 | 25.07 | 19.29 | 16.40 | 22.86 |
-| Image editing: sweater recoloring | 42 | 31.16 | 25.40 | 19.08 | 23.08 |
-| Image editing: sweater recoloring | 123 | 31.03 | 25.24 | 19.08 | 23.08 |
-| Young Chinese adult woman portrait (supplement) | 42 | 29.50 | 20.30 | 16.44 | 22.86 |
-| Young Chinese adult woman portrait (supplement) | 123 | 27.53 | 20.03 | 16.44 | 22.86 |
+| Older adult portrait | 42 | 28.59 | 19.62 | 16.40 | 9.49 |
+| Older adult portrait | 123 | 26.07 | 19.48 | 16.40 | 9.49 |
+| English lettering | 42 | 25.42 | 19.54 | 16.41 | 9.50 |
+| English lettering | 123 | 25.66 | 19.68 | 16.41 | 9.50 |
+| Chinese lettering | 42 | 25.62 | 19.61 | 16.41 | 9.50 |
+| Chinese lettering | 123 | 25.46 | 19.61 | 16.41 | 9.50 |
+| Counting and spatial arrangement | 42 | 25.39 | 19.32 | 16.41 | 9.49 |
+| Counting and spatial arrangement | 123 | 25.48 | 19.15 | 16.41 | 9.49 |
+| Feather and branch texture | 42 | 25.32 | 19.42 | 16.40 | 9.49 |
+| Feather and branch texture | 123 | 25.18 | 19.16 | 16.40 | 9.49 |
+| RGBA transparency | 42 | 25.22 | 19.22 | 16.40 | 9.48 |
+| RGBA transparency | 123 | 25.54 | 19.22 | 16.40 | 9.48 |
+| Image editing: sweater recoloring | 42 | 30.79 | 25.07 | 19.08 | 12.09 |
+| Image editing: sweater recoloring | 123 | 30.46 | 24.81 | 19.08 | 12.09 |
+| Young Chinese adult woman portrait (supplement) | 42 | 28.58 | 19.58 | 16.44 | 9.53 |
+| Young Chinese adult woman portrait (supplement) | 123 | 26.63 | 19.44 | 16.44 | 9.53 |
 
 ### Pixel drift (not a semantic quality score)
 
@@ -190,22 +263,22 @@ Reserved memory is the PyTorch CUDA allocator peak. CPU RSS is the process snaps
 
 | Case | Seed | BF16 reserved GiB | INT8 reserved GiB | BF16 RSS GiB | INT8 RSS GiB |
 |---|---:|---:|---:|---:|---:|
-| Older adult portrait | 42 | 16.58 | 22.91 | 39.33 | 23.17 |
-| Older adult portrait | 123 | 16.58 | 22.91 | 42.59 | 24.06 |
-| English lettering | 42 | 16.58 | 22.91 | 43.68 | 24.25 |
-| English lettering | 123 | 16.58 | 22.91 | 44.81 | 24.37 |
-| Chinese lettering | 42 | 16.59 | 22.91 | 45.28 | 24.50 |
-| Chinese lettering | 123 | 16.59 | 22.91 | 45.83 | 24.48 |
-| Counting and spatial arrangement | 42 | 16.59 | 22.91 | 45.99 | 24.46 |
-| Counting and spatial arrangement | 123 | 16.59 | 22.91 | 46.37 | 25.91 |
-| Feather and branch texture | 42 | 16.58 | 22.91 | 46.50 | 26.13 |
-| Feather and branch texture | 123 | 16.58 | 22.91 | 46.85 | 26.12 |
-| RGBA transparency | 42 | 16.58 | 22.91 | 47.62 | 26.14 |
-| RGBA transparency | 123 | 16.58 | 22.91 | 47.48 | 26.15 |
-| Image editing: sweater recoloring | 42 | 20.03 | 24.62 | 48.08 | 27.16 |
-| Image editing: sweater recoloring | 123 | 20.03 | 24.62 | 48.49 | 27.13 |
-| Young Chinese adult woman portrait (supplement) | 42 | 16.62 | 22.93 | 39.59 | 23.32 |
-| Young Chinese adult woman portrait (supplement) | 123 | 16.62 | 22.93 | 42.12 | 23.91 |
+| Older adult portrait | 42 | 16.58 | 9.60 | 39.60 | 21.22 |
+| Older adult portrait | 123 | 16.58 | 9.60 | 42.25 | 21.47 |
+| English lettering | 42 | 16.58 | 9.61 | 43.36 | 21.51 |
+| English lettering | 123 | 16.58 | 9.61 | 44.45 | 21.46 |
+| Chinese lettering | 42 | 16.59 | 9.60 | 45.35 | 21.52 |
+| Chinese lettering | 123 | 16.59 | 9.60 | 46.35 | 21.52 |
+| Counting and spatial arrangement | 42 | 16.59 | 9.60 | 46.49 | 21.56 |
+| Counting and spatial arrangement | 123 | 16.59 | 9.60 | 47.10 | 21.55 |
+| Feather and branch texture | 42 | 16.58 | 9.60 | 46.94 | 21.55 |
+| Feather and branch texture | 123 | 16.58 | 9.60 | 46.99 | 21.54 |
+| RGBA transparency | 42 | 16.58 | 9.55 | 46.95 | 21.54 |
+| RGBA transparency | 123 | 16.58 | 9.55 | 47.66 | 21.53 |
+| Image editing: sweater recoloring | 42 | 20.03 | 12.97 | 48.55 | 22.22 |
+| Image editing: sweater recoloring | 123 | 20.03 | 12.97 | 48.55 | 22.20 |
+| Young Chinese adult woman portrait (supplement) | 42 | 16.62 | 9.66 | 39.34 | 21.21 |
+| Young Chinese adult woman portrait (supplement) | 123 | 16.62 | 9.66 | 42.60 | 21.44 |
 
 ### All paired samples, prompts and observations
 

REPRODUCE.md

@@ -1,113 +1,130 @@
-# Image21-INT8 发布工作区
-
-目标：为 Qwen-Image-2.1 制作可重新加载的 Diffusers INT8 衍生模型，比较 BF16 与
-INT8 实际效果，并准备 Hugging Face（ixim）英文、ModelScope（iximbox）中文发布包。
-
-本地下载、量化和原有 28 张正式评测输出已完成；另增加四张中国年轻成年女性肖像
-补测输出。两平台目标名称统一为 Image21-INT8。Hugging Face 登录账号已核验为 ixim。
-最新上传状态及 ModelScope 本地登录方法见 [PUBLISHING.md](PUBLISHING.md)。
-
-工作区内的 `cards/` 是模板，
-`release/` 中通过验证的目录才是上传来源；没有实测记录时不能宣称发布完成。
-
-主名称使用 **Image21-INT8**，模型说明中描述其 Qwen-Image-2.1 来源。
-原模型采用 Qwen Research License，仅限非商业研究与评测。
-
-## 环境
-
-Windows PowerShell，新机器建议创建不继承全局软件包的虚拟环境：
-
-```powershell
-python -m venv .venv
-.venv/Scripts/python.exe -m pip install torch==2.10.0 torchvision==0.25.0 --index-url https://download.pytorch.org/whl/cu128
-.venv/Scripts/python.exe -m pip install -r requirements.txt
-```
-
-本次工作区为复用已有 CUDA PyTorch，使用了 `--system-site-packages`；更新仅安装
-在 `.venv` 内。脚本将 Numba 和 Hugging Face 缓存定向到项目 `.cache`。
-RTX 5090 可通过模型 CPU 卸载运行；精确显存需求以实测报告为准。
-
-## 下载、量化、测评
-
-在工作区根目录执行：
-
-```powershell
-.venv/Scripts/python.exe -m scripts.download --source modelscope
-.venv/Scripts/python.exe -m scripts.integrity
-.venv/Scripts/python.exe -m scripts.quantize
-.venv/Scripts/python.exe -m scripts.benchmark --model models/bf16 --output artifacts/eval/bf16
-.venv/Scripts/python.exe -m scripts.benchmark --model models/int8 --output artifacts/eval/int8
-```
-
-下载固定版本配置，ModelScope 权重按固定 HF 版本 SHA256 核验。下载不使用第三方镜像。
-量化保留敏感层和 VAE 浮点精度，具体模块记录在 `*-quantization.json`。
-
-日常本地生成：
-
-```powershell
-.venv/Scripts/python.exe -m scripts.infer --model models/int8 --prompt '一只坐在窗边的橘猫，暖色摄影' --output outputs/cat.png
-```
-
-编辑时增加 `--input input.png`；多图可在该参数后继续添加文件名。
-默认 1024×1024、40 步、CPU 卸载，PNG 保留 RGBA 通道。
-
-输出目录非空时量化拒绝覆盖；测评结果目录已有记录时拒绝覆盖。
-编辑用例输入取自 BF16 的 portrait-s42，因此必须先完成 BF16 测评。
-默认 1024×1024、40 步、种子 42/123、相同卸载方式，另做一次不计入的完整预热。
-
-肖像补测单独运行、单独统计，同样先完成 BF16 再运行 INT8：
-
-```powershell
-.venv/Scripts/python.exe -m scripts.benchmark --model models/bf16 --output artifacts/eval/young_woman/bf16 --cases benchmarks/young_woman.json
-.venv/Scripts/python.exe -m scripts.benchmark --model models/int8 --output artifacts/eval/young_woman/int8 --cases benchmarks/young_woman.json
-.venv/Scripts/python.exe -m scripts.report --baseline artifacts/eval/young_woman/bf16 --quantized artifacts/eval/young_woman/int8 --output artifacts/eval/young_woman
-```
-
-快速端到端检查（不能作为质量评测）：
-
-```powershell
-.venv/Scripts/python.exe -m scripts.benchmark --model models/bf16 --output artifacts/smoke/bf16 --case portrait --seeds 42 --width 512 --height 512 --steps 2 --no-warmup
-```
-
-## 校验
-
-```powershell
-.venv/Scripts/python.exe -m unittest discover -s tests -v
-$env:NUMBA_CACHE_DIR = "$PWD/.cache/numba"
-.venv/Scripts/python.exe -m tests.gpu_roundtrip
-```
-
-保留 `artifacts/upstream` 官方清单及许可证、下载校验记录、评测原始记录和图片。
-不要将 `.cache`、`.venv`、账户 Token 或 BF16 源模型目录上传到 INT8 仓库。
-
-## 生成发布文件与上传
-
-```powershell
-.venv/Scripts/python.exe -m scripts.release annotate
-.venv/Scripts/python.exe -m scripts.report
-.venv/Scripts/python.exe -m scripts.release stage --platform huggingface --output release/huggingface
-.venv/Scripts/python.exe -m scripts.release stage --platform modelscope --output release/modelscope
-.venv/Scripts/python.exe -m scripts.upload huggingface --dry-run
-.venv/Scripts/python.exe -m scripts.upload modelscope --dry-run
-```
-
-`annotate` 在量化文件中写入许可证要求的修改声明；建议在 INT8 实测前执行。
-`stage` 要求完整正式评测，生成平台 README、许可证、归属、脚本、评测图片及逐文件清单。
-上传前会再次核验全部文件，不上传清单外内容。最终效果可打开
-`artifacts/eval/comparison.html` 逐图检查。
-
-Hugging Face 在本机交互登录（Token 不要粘贴到聊天）：
-
-```powershell
-$env:HF_HOME = "$PWD/.cache/huggingface"
-.venv/Scripts/hf.exe auth login
-.venv/Scripts/python.exe -m scripts.upload huggingface
-```
-
-ModelScope 使用已登录账号。需要登录时，以下交互式 Python 输入不回显，
-也不会把 Token 放入命令历史：
-
-```powershell
-.venv/Scripts/python.exe -c "from getpass import getpass; from modelscope.hub.api import HubApi; HubApi().login(getpass('ModelScope token: '))"
-.venv/Scripts/python.exe -m scripts.upload modelscope
-```
+# Image21-INT8 发布工作区
+
+目标：为 Qwen-Image-2.1 制作可重新加载的 Diffusers INT8 衍生模型，比较 BF16 与
+INT8 实际效果，并准备 Hugging Face（ixim）英文、ModelScope（iximbox）中文发布包。
+
+本地下载、量化和原有 28 张正式评测输出已完成；另增加四张中国年轻成年女性肖像
+补测输出。两平台目标名称统一为 Image21-INT8。Hugging Face 登录账号已核验为 ixim。
+最新上传状态及 ModelScope 本地登录方法见 [PUBLISHING.md](PUBLISHING.md)。
+
+工作区内的 `cards/` 是模板，
+`release/` 中通过验证的目录才是上传来源；没有实测记录时不能宣称发布完成。
+
+主名称使用 **Image21-INT8**，模型说明中描述其 Qwen-Image-2.1 来源。
+原模型采用 Qwen Research License，仅限非商业研究与评测。
+
+## 环境
+
+Windows PowerShell，新机器建议创建不继承全局软件包的虚拟环境：
+
+```powershell
+python -m venv .venv
+.venv/Scripts/python.exe -m pip install torch==2.10.0 torchvision==0.25.0 --index-url https://download.pytorch.org/whl/cu128
+.venv/Scripts/python.exe -m pip install -r requirements.txt
+```
+
+本次工作区为复用已有 CUDA PyTorch，使用了 `--system-site-packages`；更新仅安装
+在 `.venv` 内。脚本将 Numba 和 Hugging Face 缓存定向到项目 `.cache`。
+RTX 5090 可通过模型 CPU 卸载运行；精确显存需求以实测报告为准。
+
+显存排查发现固定版本的 bitsandbytes 辅助张量未随父模块卸载。当前 `scripts/runtime.py`
+修复了设备移动，INT8 组件按顺序加载以降低加载峰值；`infer`、`benchmark` 默认启用。
+`benchmark --legacy-offload` 仅用于复现旧问题。权重未修改，旧评测在发布包
+`evaluation/initial/` 保留。改图失败样例仍保留，并附单独诊断复测。
+
+完整重测使用 `python -m scripts.rerun_evaluation`，输出到新的
+`artifacts/eval-corrected/`，串行启动四个独立进程并记录退出状态和显存基线。
+
+## 下载、量化、测评
+
+在工作区根目录执行：
+
+```powershell
+.venv/Scripts/python.exe -m scripts.download --source modelscope
+.venv/Scripts/python.exe -m scripts.integrity
+.venv/Scripts/python.exe -m scripts.quantize
+.venv/Scripts/python.exe -m scripts.benchmark --model models/bf16 --output artifacts/eval/bf16
+.venv/Scripts/python.exe -m scripts.benchmark --model models/int8 --output artifacts/eval/int8
+```
+
+下载固定版本配置，ModelScope 权重按固定 HF 版本 SHA256 核验。下载不使用第三方镜像。
+量化保留敏感层和 VAE 浮点精度，具体模块记录在 `*-quantization.json`。
+
+日常本地生成：
+
+```powershell
+.venv/Scripts/python.exe -m scripts.infer --model models/int8 --prompt '一只坐在窗边的橘猫，暖色摄影' --output outputs/cat.png
+```
+
+编辑时增加 `--input input.png`；多图可在该参数后继续添加文件名。
+默认 1024×1024、40 步、CPU 卸载，PNG 保留 RGBA 通道。
+
+毛衣改色用例在 1024px 明显过度锐化，BF16 与 INT8 均如此。固定种子复测显示
+2048px 加 VAE 分块明显改善此例，1024px 仅加分块未改善。编辑可按此设置尝试：
+
+```powershell
+.venv/Scripts/python.exe -m scripts.infer --model models/int8 --input input.png --prompt 'Change only the blue sweater to a red sweater. Preserve the same person, face, pose, lighting and background.' --width 2048 --height 2048 --vae-tiling --output outputs/edit.png
+```
+
+这不是对所有编辑任务的保证，2048px 的显存需求也明显高于 1024px。
+
+输出目录非空时量化拒绝覆盖；测评结果目录已有记录时拒绝覆盖。
+编辑用例输入取自 BF16 的 portrait-s42，因此必须先完成 BF16 测评。
+默认 1024×1024、40 步、种子 42/123、相同卸载方式，另做一次不计入的完整预热。
+
+肖像补测单独运行、单独统计，同样先完成 BF16 再运行 INT8：
+
+```powershell
+.venv/Scripts/python.exe -m scripts.benchmark --model models/bf16 --output artifacts/eval/young_woman/bf16 --cases benchmarks/young_woman.json
+.venv/Scripts/python.exe -m scripts.benchmark --model models/int8 --output artifacts/eval/young_woman/int8 --cases benchmarks/young_woman.json
+.venv/Scripts/python.exe -m scripts.report --baseline artifacts/eval/young_woman/bf16 --quantized artifacts/eval/young_woman/int8 --output artifacts/eval/young_woman
+```
+
+快速端到端检查（不能作为质量评测）：
+
+```powershell
+.venv/Scripts/python.exe -m scripts.benchmark --model models/bf16 --output artifacts/smoke/bf16 --case portrait --seeds 42 --width 512 --height 512 --steps 2 --no-warmup
+```
+
+## 校验
+
+```powershell
+.venv/Scripts/python.exe -m unittest discover -s tests -v
+$env:NUMBA_CACHE_DIR = "$PWD/.cache/numba"
+.venv/Scripts/python.exe -m tests.gpu_roundtrip
+```
+
+保留 `artifacts/upstream` 官方清单及许可证、下载校验记录、评测原始记录和图片。
+不要将 `.cache`、`.venv`、账户 Token 或 BF16 源模型目录上传到 INT8 仓库。
+
+## 生成发布文件与上传
+
+```powershell
+.venv/Scripts/python.exe -m scripts.release annotate
+.venv/Scripts/python.exe -m scripts.report
+.venv/Scripts/python.exe -m scripts.release stage --platform huggingface --output release/huggingface
+.venv/Scripts/python.exe -m scripts.release stage --platform modelscope --output release/modelscope
+.venv/Scripts/python.exe -m scripts.upload huggingface --dry-run
+.venv/Scripts/python.exe -m scripts.upload modelscope --dry-run
+```
+
+`annotate` 在量化文件中写入许可证要求的修改声明；建议在 INT8 实测前执行。
+`stage` 要求完整正式评测，生成平台 README、许可证、归属、脚本、评测图片及逐文件清单。
+上传前会再次核验全部文件，不上传清单外内容。最终效果可打开
+`artifacts/eval/comparison.html` 逐图检查。
+
+Hugging Face 在本机交互登录（Token 不要粘贴到聊天）：
+
+```powershell
+$env:HF_HOME = "$PWD/.cache/huggingface"
+.venv/Scripts/hf.exe auth login
+.venv/Scripts/python.exe -m scripts.upload huggingface
+```
+
+ModelScope 使用已登录账号。需要登录时，以下交互式 Python 输入不回显，
+也不会把 Token 放入命令历史：
+
+```powershell
+.venv/Scripts/python.exe -c "from getpass import getpass; from modelscope.hub.api import HubApi; HubApi().login(getpass('ModelScope token: '))"
+.venv/Scripts/python.exe -m scripts.upload modelscope
+```

cards/huggingface.md

@@ -48,12 +48,13 @@ pip install -r requirements.txt
 
 ```python
 import torch
-from diffusers import QwenImage21Pipeline
+import sys
+from huggingface_hub import snapshot_download
 
-pipe = QwenImage21Pipeline.from_pretrained(
-    "ixim/Image21-INT8", dtype=torch.bfloat16,
-)
-pipe.enable_model_cpu_offload()
+model_dir = snapshot_download("ixim/Image21-INT8")
+sys.path.insert(0, model_dir)  # bundled, inspectable scripts/runtime.py
+from scripts.runtime import load_int8_pipeline
+pipe = load_int8_pipeline(model_dir, local_files_only=True)
 image = pipe(
     prompt='A neon sign reading "CREATE WITH LIGHT", rainy night',
     width=1024, height=1024, num_inference_steps=40,
@@ -64,20 +65,29 @@ image.save("output.png")
 ```
 
 The saved quantization configuration is detected automatically. Do not re-quantize
-these weights at load time. For editing, pass `image=PIL.Image.open("input.png")`.
+these weights at load time. For editing, use the 2048px retest recipe below, setting
+`width`, `height` and `output_resolution` together and enabling VAE tiling.
 For transparency, use the upstream RGBA prompt format and save PNG files.
 
+Use the bundled loader on the pinned runtime: it loads/offloads the two INT8
+components sequentially and moves their auxiliary tensors during model offload.
+Calling only `enable_model_cpu_offload()` leaves INT8 CUDA tensors resident in
+this tested stack. The helper does not change the checkpoint or quantization.
+
 ## Local evaluation
 
 {{EVALUATION_EN}}
 
-**Observed trade-off:** weights are smaller and average latency is lower in this
-run, but peak allocated GPU memory is **higher** with the tested INT8/offload stack.
-Do not use this checkpoint as evidence of lower-VRAM operation.
+The table reports the complete rerun using the corrected offload helper. The
+initial result (19.08 GiB BF16 / 23.08 GiB INT8) exposed an offload compatibility
+bug, diagnosed below. Original measurements and failure samples are retained.
+
+{{AUDIT_EN}}
 
-**Editing limitation:** both BF16 and INT8 sweater-edit examples show substantial
+**1024px editing limitation:** both BF16 and INT8 sweater-edit examples show substantial
 oversharpening and contrast changes. Faithful preservation of the original image
-is not established. Both precisions also add unwanted footer text in the inspected
+is not achieved in those outputs; the separate 2048px retest above improves this case.
+Both precisions also add unwanted footer text in the inspected
 Chinese poster. See [qualitative observations](evaluation/qualitative.md).
 
 The comparison uses identical prompts, CPU random generators, seeds, resolutions,
@@ -86,13 +96,14 @@ Peak allocated/reserved memory are PyTorch CUDA statistics, not total board memo
 Timing includes prompt encoding, denoising, decoding and CPU transfers; it excludes
 model loading and image-file writing. Paired pixel differences measure drift, not
 semantic quality. This small suite is not a standardized quality ranking.
-BF16 was run first, followed by INT8 on the same Windows desktop GPU; repeated
-timing trials and confidence intervals were not collected.
+BF16 was run first, followed by INT8 on the same Windows desktop GPU. Each case/seed
+has one timed call after warmup in this rerun; no confidence interval is estimated.
 
 See [evaluation/report.md](evaluation/report.md), raw JSONL records, environment
 records and paired PNG outputs. The edit pair uses the exact same source image.
-Higher resolutions, extensive multi-reference editing, other GPUs, other attention
-backends, and ComfyUI compatibility are not established by this evaluation.
+The 2048px single-image editing diagnostic below is separate from the 1024px suite.
+Extensive multi-reference editing, other GPUs, other attention backends, and
+ComfyUI compatibility are not established by this evaluation.
 
 {{EVALUATION_DETAILS_EN}}
 

cards/modelscope.md

@@ -48,12 +48,13 @@ pip install -r requirements.txt
 
 ```python
 import torch
+import sys
 from modelscope import snapshot_download
-from diffusers import QwenImage21Pipeline
 
 model_dir = snapshot_download("iximbox/Image21-INT8")
-pipe = QwenImage21Pipeline.from_pretrained(model_dir, dtype=torch.bfloat16)
-pipe.enable_model_cpu_offload()
+sys.path.insert(0, model_dir)  # 仓库附带、可查看的 scripts/runtime.py
+from scripts.runtime import load_int8_pipeline
+pipe = load_int8_pipeline(model_dir, local_files_only=True)
 image = pipe(
     prompt='一张咖啡馆海报，清晰写着“慢下来，喝杯咖啡”，暖色摄影',
     width=1024, height=1024, num_inference_steps=40,
@@ -64,29 +65,38 @@ image.save("output.png")
 ```
 
 加载时会自动读取已保存的量化配置，无需再次指定量化参数。
-图像编辑可增加 `image=PIL.Image.open("input.png")`。
+图像编辑请使用下文 2048px 复测代码，同时设置 `width`、`height`、
+`output_resolution`，并开启 VAE 分块。
 透明图生成使用官方 RGBA 提示词格式，并保存为 PNG 以保留透明通道。
 
+在固定版本环境下请使用仓库附带的加载函数：它依次加载并卸载两个 INT8 组件，
+同时在 CPU 卸载时移动量化层的辅助张量。仅调用 `enable_model_cpu_offload()`
+会在本次测试的软件组合中留下 INT8 CUDA 张量。此修复不修改权重或量化方式。
+
 ## 实测对比
 
 {{EVALUATION_ZH}}
 
-**实际取舍：** 本次测试中权重更小、平均耗时更低，但 INT8 搭配当前卸载方案的
-已分配显存峰值**更高**。不能据此宣称本版本适用于更低显存设备。
+上表为修复卸载后的完整重测结果。初次评测的 19.08 GiB（BF16）／23.08 GiB（INT8）
+暴露了卸载兼容性问题，排查过程见下文。原始测量及失败样图均保留。
+
+{{AUDIT_ZH}}
 
-**编辑限制：** BF16 与 INT8 的毛衣改色样例都出现明显过度锐化及对比度变化，
-未证明能够忠实保持原图质感。所检查的中文海报在两种精度中也均出现了多余页脚文字。
+**1024px 编辑限制：** BF16 与 INT8 的毛衣改色样例都出现明显过度锐化及对比度变化，
+未忠实保持原图质感；上文单独的 2048px 复测改善了这一用例。
+所检查的中文海报在两种精度中也均出现了多余页脚文字。
 详见 [定性检查](evaluation/qualitative.md)。
 
 两组使用相同提示词、CPU 随机数生成器、种子、分辨率、40 步、CFG=1、KV 缓存
 及按模型 CPU 卸载。预热不计入结果。显存数值为 PyTorch CUDA 分配/保留峰值，
 不代表显卡总占用。耗时包含编码、去噪、解码及 CPU 传输，不包含加载和图片写盘。
 像素差异用于观察量化偏移，不能等同于语义质量评分；小样本不能代表标准榜单成绩。
-测试在同一 Windows 桌面显卡上先运行 BF16，再运行 INT8，未做多轮独立计时或置信区间估计。
+重测在同一 Windows 桌面显卡上先运行 BF16，再运行 INT8；每个用例／种子在预热后
+计时一次，没有估计置信区间。
 
 详见 [评测报告](evaluation/report.md)、原始 JSONL、环境记录与成对 PNG。
-编辑测试使用同一份输入图像。更高分辨率、大量多图参考、其他显卡、其他注意力
-后端及 ComfyUI 兼容性未由本次评测证明。
+编辑测试使用同一份输入图像。2048px 单图编辑诊断与 1024px 主评测分开报告；
+大量多图参考、其他显卡、其他注意力后端及 ComfyUI 兼容性未由本次评测证明。
 
 {{EVALUATION_DETAILS_ZH}}
 

evaluation/audit/bf16-native-tiled/environment.json

@@ -0,0 +1,20 @@
+{
+  "python": "3.13.5",
+  "platform": "Windows-11-10.0.26200-SP0",
+  "gpu": "NVIDIA GeForce RTX 5090",
+  "cuda": "12.8",
+  "packages": {
+    "torch": "2.10.0+cu128",
+    "torchvision": "0.25.0+cu128",
+    "diffusers": "0.41.0.dev0",
+    "transformers": "5.17.0",
+    "accelerate": "1.15.0",
+    "bitsandbytes": "0.50.2",
+    "safetensors": "0.8.0",
+    "huggingface-hub": "1.32.0",
+    "tokenizers": "0.23.2",
+    "numpy": "2.2.6",
+    "pillow": "12.2.0",
+    "psutil": "7.0.0"
+  }
+}

evaluation/audit/bf16-native-tiled/gpu-before.txt

@@ -0,0 +1,38 @@
+Mon Sep 21 01:48:29 2026       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 616.92                 KMD Version: 616.92        CUDA UMD Version: 13.4     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                  Driver-Model | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA GeForce RTX 5090      WDDM  |   00000000:02:00.0  On |                  N/A |
+| 30%   49C    P3             67W /  575W |    1940MiB /  32607MiB |      5%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|    0   N/A  N/A            3636    C+G   ...t\Edge\Application\msedge.exe      N/A      |
+|    0   N/A  N/A            3952    C+G   ...yb3d8bbwe\WindowsTerminal.exe      N/A      |
+|    0   N/A  N/A           13492    C+G   C:\Windows\explorer.exe               N/A      |
+|    0   N/A  N/A           14084    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           15152    C+G   ...2txyewy\CrossDeviceResume.exe      N/A      |
+|    0   N/A  N/A           16996    C+G   ..._cw5n1h2txyewy\SearchHost.exe      N/A      |
+|    0   N/A  N/A           17024    C+G   ...y\StartMenuExperienceHost.exe      N/A      |
+|    0   N/A  N/A           17796    C+G   ...yb3d8bbwe\Notepad\Notepad.exe      N/A      |
+|    0   N/A  N/A           20120    C+G   ...lus\logioptionsplus_agent.exe      N/A      |
+|    0   N/A  N/A           20456    C+G   ...are\IntelGraphicsSoftware.exe      N/A      |
+|    0   N/A  N/A           20468    C+G   ...ntrolPanel\SystemSettings.exe      N/A      |
+|    0   N/A  N/A           21128    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           23160    C+G   ...MiniMark\MiniMark.Windows.exe      N/A      |
+|    0   N/A  N/A           24684    C+G   ...5n1h2txyewy\TextInputHost.exe      N/A      |
+|    0   N/A  N/A           25424    C+G   ...8bbwe\PhoneExperienceHost.exe      N/A      |
+|    0   N/A  N/A           26464    C+G   ...yApp\MicrosoftSecurityApp.exe      N/A      |
+|    0   N/A  N/A           30740    C+G   ...xyewy\ShellExperienceHost.exe      N/A      |
+|    0   N/A  N/A           34284    C+G   C:\Windows\System32\Mystify.scr       N/A      |
+|    0   N/A  N/A           35676    C+G   ...indows\System32\ShellHost.exe      N/A      |
++-----------------------------------------------------------------------------------------+

evaluation/audit/bf16-native-tiled/memory.jsonl

@@ -0,0 +1,11 @@
+{"label": "before_load", "pid": 6708, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256]}
+{"label": "after_load_and_offload", "pid": 6708, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_native_start", "pid": 6708, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_encode_prompt", "pid": 6708, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_encode_prompt", "pid": 6708, "allocated": 17591357440, "reserved": 26449281024, "peak": 26117673472, "free_total": [4181049344, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_prepare_latents", "pid": 6708, "allocated": 17591357440, "reserved": 26449281024, "peak": 26117673472, "free_total": [4181049344, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_prepare_latents", "pid": 6708, "allocated": 18274804736, "reserved": 26472349696, "peak": 26117673472, "free_total": [4203085824, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_decode", "pid": 6708, "allocated": 23580760576, "reserved": 29381099520, "peak": 28467959296, "free_total": [1474904064, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cuda:0/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_decode", "pid": 6708, "allocated": 9384048640, "reserved": 11697913856, "peak": 28467959296, "free_total": [20645412864, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_native_end", "pid": 6708, "allocated": 14288384, "reserved": 10995367936, "peak": 28467959296, "free_total": [21347958784, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_process_exit", "pid": 6708, "allocated": 14288384, "reserved": 10995367936, "peak": 28467959296, "free_total": [21347958784, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 17534247392}, "bnb_state": {}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 14230249472}, "bnb_state": {}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}

evaluation/audit/bf16-native-tiled/records.jsonl

@@ -0,0 +1 @@
+{"name": "edit_native", "seed": 42, "input_mode": "original", "kv_cache": true, "width": 2048, "height": 2048, "steps": 40, "cfg": 1.0, "vae_tiling": true, "seconds": 233.8040861999998, "peak_allocated_bytes": 28467959296, "image_sha256": "c551ac809ccb48146d1ad842d75975c0e9663d388a368010d2bfccb7883eeeec", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}

evaluation/audit/gpu-regression-after.txt

@@ -0,0 +1 @@
+PASS: auxiliary tensors offloaded; three exact-output CPU/GPU round trips

evaluation/audit/gpu-regression-before.txt

@@ -0,0 +1,10 @@
+Traceback (most recent call last):
+  File "<frozen runpy>", line 198, in _run_module_as_main
+  File "<frozen runpy>", line 88, in _run_code
+  File "D:\Git\Qwen-Image-2.1\tests\gpu_offload.py", line 41, in <module>
+    main()
+    ~~~~^^
+  File "D:\Git\Qwen-Image-2.1\tests\gpu_offload.py", line 25, in main
+    assert all(t is None or t.device.type == 'cpu' for t in tensors), 'CUDA tensors retained after parent.to(cpu)'
+           ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+AssertionError: CUDA tensors retained after parent.to(cpu)

evaluation/audit/int8-1024-tiled/environment.json

@@ -0,0 +1,20 @@
+{
+  "python": "3.13.5",
+  "platform": "Windows-11-10.0.26200-SP0",
+  "gpu": "NVIDIA GeForce RTX 5090",
+  "cuda": "12.8",
+  "packages": {
+    "torch": "2.10.0+cu128",
+    "torchvision": "0.25.0+cu128",
+    "diffusers": "0.41.0.dev0",
+    "transformers": "5.17.0",
+    "accelerate": "1.15.0",
+    "bitsandbytes": "0.50.2",
+    "safetensors": "0.8.0",
+    "huggingface-hub": "1.32.0",
+    "tokenizers": "0.23.2",
+    "numpy": "2.2.6",
+    "pillow": "12.2.0",
+    "psutil": "7.0.0"
+  }
+}

evaluation/audit/int8-1024-tiled/gpu-before.txt

@@ -0,0 +1,38 @@
+Mon Sep 21 01:53:13 2026       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 616.92                 KMD Version: 616.92        CUDA UMD Version: 13.4     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                  Driver-Model | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA GeForce RTX 5090      WDDM  |   00000000:02:00.0  On |                  N/A |
+| 33%   52C    P3             69W /  575W |    1946MiB /  32607MiB |      5%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|    0   N/A  N/A            3636    C+G   ...t\Edge\Application\msedge.exe      N/A      |
+|    0   N/A  N/A            3952    C+G   ...yb3d8bbwe\WindowsTerminal.exe      N/A      |
+|    0   N/A  N/A           13492    C+G   C:\Windows\explorer.exe               N/A      |
+|    0   N/A  N/A           14084    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           15152    C+G   ...2txyewy\CrossDeviceResume.exe      N/A      |
+|    0   N/A  N/A           16996    C+G   ..._cw5n1h2txyewy\SearchHost.exe      N/A      |
+|    0   N/A  N/A           17024    C+G   ...y\StartMenuExperienceHost.exe      N/A      |
+|    0   N/A  N/A           17796    C+G   ...yb3d8bbwe\Notepad\Notepad.exe      N/A      |
+|    0   N/A  N/A           20120    C+G   ...lus\logioptionsplus_agent.exe      N/A      |
+|    0   N/A  N/A           20456    C+G   ...are\IntelGraphicsSoftware.exe      N/A      |
+|    0   N/A  N/A           20468    C+G   ...ntrolPanel\SystemSettings.exe      N/A      |
+|    0   N/A  N/A           21128    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           23160    C+G   ...MiniMark\MiniMark.Windows.exe      N/A      |
+|    0   N/A  N/A           24684    C+G   ...5n1h2txyewy\TextInputHost.exe      N/A      |
+|    0   N/A  N/A           25424    C+G   ...8bbwe\PhoneExperienceHost.exe      N/A      |
+|    0   N/A  N/A           26464    C+G   ...yApp\MicrosoftSecurityApp.exe      N/A      |
+|    0   N/A  N/A           30740    C+G   ...xyewy\ShellExperienceHost.exe      N/A      |
+|    0   N/A  N/A           34284    C+G   C:\Windows\System32\Mystify.scr       N/A      |
+|    0   N/A  N/A           35676    C+G   ...indows\System32\ShellHost.exe      N/A      |
++-----------------------------------------------------------------------------------------+

evaluation/audit/int8-1024-tiled/memory.jsonl

@@ -0,0 +1,12 @@
+{"label": "before_load", "pid": 31976, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256]}
+{"label": "after_load_and_offload", "pid": 31976, "allocated": 14509193728, "reserved": 17249075200, "peak": 17281157120, "free_total": [15247343616, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cuda:0/torch.int8": 7517270016, "weight.SCB/cuda:0/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cuda:0/torch.int8": 6979321856, "weight.SCB/cuda:0/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_fix", "pid": 31976, "allocated": 0, "reserved": 0, "peak": 17281157120, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_fresh_start", "pid": 31976, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_encode_prompt", "pid": 31976, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_encode_prompt", "pid": 31976, "allocated": 10057543168, "reserved": 11704205312, "peak": 11308157952, "free_total": [20630732800, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_prepare_latents", "pid": 31976, "allocated": 10057543168, "reserved": 11704205312, "peak": 11308157952, "free_total": [20630732800, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_prepare_latents", "pid": 31976, "allocated": 10740374016, "reserved": 11720982528, "peak": 11308157952, "free_total": [20613955584, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_decode", "pid": 31976, "allocated": 10135270912, "reserved": 12308185088, "peak": 11800422912, "free_total": [20024655872, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cuda:0/torch.bfloat16": 271605760, "cuda:0/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 314520}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_decode", "pid": 31976, "allocated": 2886173184, "reserved": 3768582144, "peak": 11800422912, "free_total": [28564258816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 314520}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_fresh_end", "pid": 31976, "allocated": 14247424, "reserved": 2816475136, "peak": 11800422912, "free_total": [29516365824, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 314520}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_process_exit", "pid": 31976, "allocated": 14247424, "reserved": 2816475136, "peak": 11800422912, "free_total": [29516365824, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 314520}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}

evaluation/audit/int8-1024-tiled/records.jsonl

@@ -0,0 +1 @@
+{"name": "edit_fresh", "seed": 42, "input_mode": "original", "kv_cache": true, "width": 1024, "height": 1024, "steps": 40, "cfg": 1.0, "vae_tiling": true, "seconds": 44.791631599999164, "peak_allocated_bytes": 11800422912, "image_sha256": "e1118dfd5286837adcf75553ab6bc3f9c5d5da36270d7b1fc0a9958e4ca51ca9", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}

evaluation/audit/int8-fixed/environment.json

@@ -0,0 +1,20 @@
+{
+  "python": "3.13.5",
+  "platform": "Windows-11-10.0.26200-SP0",
+  "gpu": "NVIDIA GeForce RTX 5090",
+  "cuda": "12.8",
+  "packages": {
+    "torch": "2.10.0+cu128",
+    "torchvision": "0.25.0+cu128",
+    "diffusers": "0.41.0.dev0",
+    "transformers": "5.17.0",
+    "accelerate": "1.15.0",
+    "bitsandbytes": "0.50.2",
+    "safetensors": "0.8.0",
+    "huggingface-hub": "1.32.0",
+    "tokenizers": "0.23.2",
+    "numpy": "2.2.6",
+    "pillow": "12.2.0",
+    "psutil": "7.0.0"
+  }
+}

evaluation/audit/int8-fixed/gpu-before.txt

@@ -0,0 +1,37 @@
+Mon Sep 21 01:33:16 2026       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 616.92                 KMD Version: 616.92        CUDA UMD Version: 13.4     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                  Driver-Model | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA GeForce RTX 5090      WDDM  |   00000000:02:00.0  On |                  N/A |
+| 30%   43C    P8             56W /  575W |    3242MiB /  32607MiB |      1%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|    0   N/A  N/A            3636    C+G   ...t\Edge\Application\msedge.exe      N/A      |
+|    0   N/A  N/A            3952    C+G   ...yb3d8bbwe\WindowsTerminal.exe      N/A      |
+|    0   N/A  N/A           13492    C+G   C:\Windows\explorer.exe               N/A      |
+|    0   N/A  N/A           14084    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           15152    C+G   ...2txyewy\CrossDeviceResume.exe      N/A      |
+|    0   N/A  N/A           16996    C+G   ..._cw5n1h2txyewy\SearchHost.exe      N/A      |
+|    0   N/A  N/A           17024    C+G   ...y\StartMenuExperienceHost.exe      N/A      |
+|    0   N/A  N/A           17796    C+G   ...yb3d8bbwe\Notepad\Notepad.exe      N/A      |
+|    0   N/A  N/A           20120    C+G   ...lus\logioptionsplus_agent.exe      N/A      |
+|    0   N/A  N/A           20456    C+G   ...are\IntelGraphicsSoftware.exe      N/A      |
+|    0   N/A  N/A           20468    C+G   ...ntrolPanel\SystemSettings.exe      N/A      |
+|    0   N/A  N/A           21128    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           23160    C+G   ...MiniMark\MiniMark.Windows.exe      N/A      |
+|    0   N/A  N/A           24684    C+G   ...5n1h2txyewy\TextInputHost.exe      N/A      |
+|    0   N/A  N/A           25424    C+G   ...8bbwe\PhoneExperienceHost.exe      N/A      |
+|    0   N/A  N/A           26464    C+G   ...yApp\MicrosoftSecurityApp.exe      N/A      |
+|    0   N/A  N/A           30740    C+G   ...xyewy\ShellExperienceHost.exe      N/A      |
+|    0   N/A  N/A           35676    C+G   ...indows\System32\ShellHost.exe      N/A      |
++-----------------------------------------------------------------------------------------+

evaluation/audit/int8-fixed/memory.jsonl

@@ -0,0 +1,46 @@
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+{"label": "edit_rgb_end", "pid": 33364, "allocated": 14247424, "reserved": 2829058048, "peak": 12979960320, "free_total": [29503782912, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 716984}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_no_cache_start", "pid": 33364, "allocated": 14247424, "reserved": 83886080, "peak": 14247424, "free_total": [32248954880, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 716984}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_encode_prompt", "pid": 33364, "allocated": 14247424, "reserved": 83886080, "peak": 14247424, "free_total": [32248954880, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 716984}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_encode_prompt", "pid": 33364, "allocated": 10062754304, "reserved": 11704205312, "peak": 11311235072, "free_total": [20628635648, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_prepare_latents", "pid": 33364, "allocated": 10062754304, "reserved": 11704205312, "peak": 11311235072, "free_total": [20628635648, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_prepare_latents", "pid": 33364, "allocated": 10745445888, "reserved": 13927186432, "peak": 12979961344, "free_total": [18405654528, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 299352}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_decode", "pid": 33364, "allocated": 7965142016, "reserved": 10435428352, "peak": 12979961344, "free_total": [21897412608, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cuda:0/torch.bfloat16": 271605760, "cuda:0/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 535200}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_decode", "pid": 33364, "allocated": 716272128, "reserved": 9521070080, "peak": 12979961344, "free_total": [22811770880, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 535200}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_no_cache_end", "pid": 33364, "allocated": 14247424, "reserved": 138412032, "peak": 12979961344, "free_total": [32194428928, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 535200}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_decode", "pid": 33364, "allocated": 698923520, "reserved": 3187671040, "peak": 12979961344, "free_total": [29145169920, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 535200}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_decode", "pid": 33364, "allocated": 708360704, "reserved": 9395240960, "peak": 12979961344, "free_total": [22937600000, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 535200}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_delete", "pid": 33364, "allocated": 708360704, "reserved": 954204160, "peak": 12979961344, "free_total": [31378636800, 34162016256]}

evaluation/audit/int8-fixed/records.jsonl

@@ -0,0 +1,5 @@
+{"name": "edit_fresh", "seed": 42, "input_mode": "original", "kv_cache": true, "width": 1024, "height": 1024, "steps": 40, "cfg": 1.0, "seconds": 43.479736799999955, "peak_allocated_bytes": 12974889472, "image_sha256": "79725e243ccfd82b5387beffe6e1f37193ce9137b576b2ec20e8543547dd9d33", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}
+{"name": "portrait", "seed": 42, "input_mode": "original", "kv_cache": true, "width": 1024, "height": 1024, "steps": 40, "cfg": 1.0, "seconds": 20.44445749999977, "peak_allocated_bytes": 10192543744, "image_sha256": "e37187a2530d0f45378f17ca8fff47a7e174f1ce0c19ff89b9df8f4db1845acd", "input_sha256": null}
+{"name": "edit_repeat", "seed": 42, "input_mode": "original", "kv_cache": true, "width": 1024, "height": 1024, "steps": 40, "cfg": 1.0, "seconds": 25.656203200000164, "peak_allocated_bytes": 12979961344, "image_sha256": "79725e243ccfd82b5387beffe6e1f37193ce9137b576b2ec20e8543547dd9d33", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}
+{"name": "edit_rgb", "seed": 42, "input_mode": "RGB", "kv_cache": true, "width": 1024, "height": 1024, "steps": 40, "cfg": 1.0, "seconds": 25.305789000000004, "peak_allocated_bytes": 12979960320, "image_sha256": "d960f2abe6352c66f07735f408e3dfbd7519a895343f9fd520d90bdefd23262b", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}
+{"name": "edit_no_cache", "seed": 42, "input_mode": "original", "kv_cache": false, "width": 1024, "height": 1024, "steps": 40, "cfg": 1.0, "seconds": 43.785136300000886, "peak_allocated_bytes": 12979961344, "image_sha256": "044657096db189dc8b8741ac96c59a3758944525e914ee338c32c2e8b3345f2b", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}

evaluation/audit/int8-fixed/vae-roundtrip.json

@@ -0,0 +1,7 @@
+{
+  "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa",
+  "output_sha256": "c0c4090e0a95407811b24fe2067941f801ade6bfcb193580f44dafd4e63fa198",
+  "method": "preprocess RGBA, encode latent_dist.mode(), decode, postprocess; no denoising",
+  "dtype": "bfloat16",
+  "tiling": false
+}

evaluation/audit/int8-native-tiled/environment.json

@@ -0,0 +1,20 @@
+{
+  "python": "3.13.5",
+  "platform": "Windows-11-10.0.26200-SP0",
+  "gpu": "NVIDIA GeForce RTX 5090",
+  "cuda": "12.8",
+  "packages": {
+    "torch": "2.10.0+cu128",
+    "torchvision": "0.25.0+cu128",
+    "diffusers": "0.41.0.dev0",
+    "transformers": "5.17.0",
+    "accelerate": "1.15.0",
+    "bitsandbytes": "0.50.2",
+    "safetensors": "0.8.0",
+    "huggingface-hub": "1.32.0",
+    "tokenizers": "0.23.2",
+    "numpy": "2.2.6",
+    "pillow": "12.2.0",
+    "psutil": "7.0.0"
+  }
+}

evaluation/audit/int8-native-tiled/gpu-before.txt

@@ -0,0 +1,38 @@
+Mon Sep 21 01:43:25 2026       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 616.92                 KMD Version: 616.92        CUDA UMD Version: 13.4     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                  Driver-Model | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA GeForce RTX 5090      WDDM  |   00000000:02:00.0  On |                  N/A |
+| 30%   50C    P0            101W /  575W |    1891MiB /  32607MiB |     20%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|    0   N/A  N/A            3636    C+G   ...t\Edge\Application\msedge.exe      N/A      |
+|    0   N/A  N/A            3952    C+G   ...yb3d8bbwe\WindowsTerminal.exe      N/A      |
+|    0   N/A  N/A           13492    C+G   C:\Windows\explorer.exe               N/A      |
+|    0   N/A  N/A           14084    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           15152    C+G   ...2txyewy\CrossDeviceResume.exe      N/A      |
+|    0   N/A  N/A           16996    C+G   ..._cw5n1h2txyewy\SearchHost.exe      N/A      |
+|    0   N/A  N/A           17024    C+G   ...y\StartMenuExperienceHost.exe      N/A      |
+|    0   N/A  N/A           17796    C+G   ...yb3d8bbwe\Notepad\Notepad.exe      N/A      |
+|    0   N/A  N/A           20120    C+G   ...lus\logioptionsplus_agent.exe      N/A      |
+|    0   N/A  N/A           20456    C+G   ...are\IntelGraphicsSoftware.exe      N/A      |
+|    0   N/A  N/A           20468    C+G   ...ntrolPanel\SystemSettings.exe      N/A      |
+|    0   N/A  N/A           21128    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           23160    C+G   ...MiniMark\MiniMark.Windows.exe      N/A      |
+|    0   N/A  N/A           24684    C+G   ...5n1h2txyewy\TextInputHost.exe      N/A      |
+|    0   N/A  N/A           25424    C+G   ...8bbwe\PhoneExperienceHost.exe      N/A      |
+|    0   N/A  N/A           26464    C+G   ...yApp\MicrosoftSecurityApp.exe      N/A      |
+|    0   N/A  N/A           30740    C+G   ...xyewy\ShellExperienceHost.exe      N/A      |
+|    0   N/A  N/A           34284    C+G   C:\Windows\System32\Mystify.scr       N/A      |
+|    0   N/A  N/A           35676    C+G   ...indows\System32\ShellHost.exe      N/A      |
++-----------------------------------------------------------------------------------------+

evaluation/audit/int8-native-tiled/memory.jsonl

@@ -0,0 +1,12 @@
+{"label": "before_load", "pid": 33964, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256]}
+{"label": "after_load_and_offload", "pid": 33964, "allocated": 14509193728, "reserved": 17251172352, "peak": 17281157120, "free_total": [15245246464, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cuda:0/torch.int8": 7517270016, "weight.SCB/cuda:0/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cuda:0/torch.int8": 6979321856, "weight.SCB/cuda:0/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_fix", "pid": 33964, "allocated": 0, "reserved": 0, "peak": 17281157120, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_native_start", "pid": 33964, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_encode_prompt", "pid": 33964, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_encode_prompt", "pid": 33964, "allocated": 10082785280, "reserved": 19004391424, "peak": 18609594368, "free_total": [13330546688, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_prepare_latents", "pid": 33964, "allocated": 10082785280, "reserved": 19004391424, "peak": 18609594368, "free_total": [13330546688, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_prepare_latents", "pid": 33964, "allocated": 10768888832, "reserved": 19025362944, "peak": 18609594368, "free_total": [13309575168, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_decode", "pid": 33964, "allocated": 16609594368, "reserved": 24412946432, "peak": 23243435008, "free_total": [6195294208, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 910360}}, "transformer": {"parameters": {"cuda:0/torch.bfloat16": 271605760, "cuda:0/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 164056}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_decode", "pid": 33964, "allocated": 9386084864, "reserved": 12127830016, "peak": 23243435008, "free_total": [20205010944, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 164056}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_native_end", "pid": 33964, "allocated": 13239808, "reserved": 11343495168, "peak": 23243435008, "free_total": [20989345792, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 164056}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_process_exit", "pid": 33964, "allocated": 13239808, "reserved": 11343495168, "peak": 23243435008, "free_total": [20989345792, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cpu/torch.int8": 6979321856, "SCB/cpu/torch.float32": 5767168, "idx/cpu/torch.int64": 164056}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}

evaluation/audit/int8-native-tiled/records.jsonl

@@ -0,0 +1 @@
+{"name": "edit_native", "seed": 42, "input_mode": "original", "kv_cache": true, "width": 2048, "height": 2048, "steps": 40, "cfg": 1.0, "vae_tiling": true, "seconds": 213.56440760000078, "peak_allocated_bytes": 23243435008, "image_sha256": "b6af18d8688bb2669632adf0cfae962bc34431e30e935014997010cde5c2ca59", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}

evaluation/audit/int8-native/environment.json

@@ -0,0 +1,20 @@
+{
+  "python": "3.13.5",
+  "platform": "Windows-11-10.0.26200-SP0",
+  "gpu": "NVIDIA GeForce RTX 5090",
+  "cuda": "12.8",
+  "packages": {
+    "torch": "2.10.0+cu128",
+    "torchvision": "0.25.0+cu128",
+    "diffusers": "0.41.0.dev0",
+    "transformers": "5.17.0",
+    "accelerate": "1.15.0",
+    "bitsandbytes": "0.50.2",
+    "safetensors": "0.8.0",
+    "huggingface-hub": "1.32.0",
+    "tokenizers": "0.23.2",
+    "numpy": "2.2.6",
+    "pillow": "12.2.0",
+    "psutil": "7.0.0"
+  }
+}

evaluation/audit/int8-native/gpu-before.txt

@@ -0,0 +1,37 @@
+Mon Sep 21 01:37:01 2026       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 616.92                 KMD Version: 616.92        CUDA UMD Version: 13.4     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                  Driver-Model | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA GeForce RTX 5090      WDDM  |   00000000:02:00.0  On |                  N/A |
+| 30%   50C    P8             58W /  575W |    2932MiB /  32607MiB |      2%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|    0   N/A  N/A            3636    C+G   ...t\Edge\Application\msedge.exe      N/A      |
+|    0   N/A  N/A            3952    C+G   ...yb3d8bbwe\WindowsTerminal.exe      N/A      |
+|    0   N/A  N/A           13492    C+G   C:\Windows\explorer.exe               N/A      |
+|    0   N/A  N/A           14084    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           15152    C+G   ...2txyewy\CrossDeviceResume.exe      N/A      |
+|    0   N/A  N/A           16996    C+G   ..._cw5n1h2txyewy\SearchHost.exe      N/A      |
+|    0   N/A  N/A           17024    C+G   ...y\StartMenuExperienceHost.exe      N/A      |
+|    0   N/A  N/A           17796    C+G   ...yb3d8bbwe\Notepad\Notepad.exe      N/A      |
+|    0   N/A  N/A           20120    C+G   ...lus\logioptionsplus_agent.exe      N/A      |
+|    0   N/A  N/A           20456    C+G   ...are\IntelGraphicsSoftware.exe      N/A      |
+|    0   N/A  N/A           20468    C+G   ...ntrolPanel\SystemSettings.exe      N/A      |
+|    0   N/A  N/A           21128    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           23160    C+G   ...MiniMark\MiniMark.Windows.exe      N/A      |
+|    0   N/A  N/A           24684    C+G   ...5n1h2txyewy\TextInputHost.exe      N/A      |
+|    0   N/A  N/A           25424    C+G   ...8bbwe\PhoneExperienceHost.exe      N/A      |
+|    0   N/A  N/A           26464    C+G   ...yApp\MicrosoftSecurityApp.exe      N/A      |
+|    0   N/A  N/A           30740    C+G   ...xyewy\ShellExperienceHost.exe      N/A      |
+|    0   N/A  N/A           35676    C+G   ...indows\System32\ShellHost.exe      N/A      |
++-----------------------------------------------------------------------------------------+

evaluation/audit/int8-native/memory.jsonl

@@ -0,0 +1,9 @@
+{"label": "before_load", "pid": 18516, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256]}
+{"label": "after_load_and_offload", "pid": 18516, "allocated": 14509193728, "reserved": 17251172352, "peak": 17281157120, "free_total": [15245246464, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cuda:0/torch.int8": 7517270016, "weight.SCB/cuda:0/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cuda:0/torch.int8": 6979321856, "weight.SCB/cuda:0/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_fix", "pid": 18516, "allocated": 0, "reserved": 0, "peak": 17281157120, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_native_start", "pid": 18516, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_encode_prompt", "pid": 18516, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"weight.CB/cpu/torch.int8": 7517270016, "weight.SCB/cpu/torch.float32": 6829504}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_encode_prompt", "pid": 18516, "allocated": 10082785280, "reserved": 19004391424, "peak": 18609594368, "free_total": [13330546688, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_prepare_latents", "pid": 18516, "allocated": 10082785280, "reserved": 19004391424, "peak": 18609594368, "free_total": [13330546688, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_prepare_latents", "pid": 18516, "allocated": 10768888832, "reserved": 25453133824, "peak": 19706950656, "free_total": [5216784384, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 910360}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"weight.CB/cpu/torch.int8": 6979321856, "weight.SCB/cpu/torch.float32": 5767168}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_decode", "pid": 18516, "allocated": 16609620480, "reserved": 24412946432, "peak": 23243426304, "free_total": [6256705536, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cpu/torch.int8": 7517270016, "SCB/cpu/torch.float32": 6829504, "idx/cpu/torch.int64": 910360}}, "transformer": {"parameters": {"cuda:0/torch.bfloat16": 271605760, "cuda:0/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 191896}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}

evaluation/audit/int8-original/environment.json

@@ -0,0 +1,20 @@
+{
+  "python": "3.13.5",
+  "platform": "Windows-11-10.0.26200-SP0",
+  "gpu": "NVIDIA GeForce RTX 5090",
+  "cuda": "12.8",
+  "packages": {
+    "torch": "2.10.0+cu128",
+    "torchvision": "0.25.0+cu128",
+    "diffusers": "0.41.0.dev0",
+    "transformers": "5.17.0",
+    "accelerate": "1.15.0",
+    "bitsandbytes": "0.50.2",
+    "safetensors": "0.8.0",
+    "huggingface-hub": "1.32.0",
+    "tokenizers": "0.23.2",
+    "numpy": "2.2.6",
+    "pillow": "12.2.0",
+    "psutil": "7.0.0"
+  }
+}

evaluation/audit/int8-original/gpu-before.txt

@@ -0,0 +1,37 @@
+Mon Sep 21 01:28:00 2026       
++-----------------------------------------------------------------------------------------+
+| NVIDIA-SMI 616.92                 KMD Version: 616.92        CUDA UMD Version: 13.4     |
++-----------------------------------------+------------------------+----------------------+
+| GPU  Name                  Driver-Model | Bus-Id          Disp.A | Volatile Uncorr. ECC |
+| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |
+|                                         |                        |               MIG M. |
+|=========================================+========================+======================|
+|   0  NVIDIA GeForce RTX 5090      WDDM  |   00000000:02:00.0  On |                  N/A |
+|  0%   53C    P8             52W /  575W |    3209MiB /  32607MiB |      1%      Default |
+|                                         |                        |                  N/A |
++-----------------------------------------+------------------------+----------------------+
+
++-----------------------------------------------------------------------------------------+
+| Processes:                                                                              |
+|  GPU   GI   CI              PID   Type   Process name                        GPU Memory |
+|        ID   ID                                                               Usage      |
+|=========================================================================================|
+|    0   N/A  N/A            3636    C+G   ...t\Edge\Application\msedge.exe      N/A      |
+|    0   N/A  N/A            3952    C+G   ...yb3d8bbwe\WindowsTerminal.exe      N/A      |
+|    0   N/A  N/A           13492    C+G   C:\Windows\explorer.exe               N/A      |
+|    0   N/A  N/A           14084    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           15152    C+G   ...2txyewy\CrossDeviceResume.exe      N/A      |
+|    0   N/A  N/A           16996    C+G   ..._cw5n1h2txyewy\SearchHost.exe      N/A      |
+|    0   N/A  N/A           17024    C+G   ...y\StartMenuExperienceHost.exe      N/A      |
+|    0   N/A  N/A           17796    C+G   ...yb3d8bbwe\Notepad\Notepad.exe      N/A      |
+|    0   N/A  N/A           20120    C+G   ...lus\logioptionsplus_agent.exe      N/A      |
+|    0   N/A  N/A           20456    C+G   ...are\IntelGraphicsSoftware.exe      N/A      |
+|    0   N/A  N/A           20468    C+G   ...ntrolPanel\SystemSettings.exe      N/A      |
+|    0   N/A  N/A           21128    C+G   ...IA App\CEF\NVIDIA Overlay.exe      N/A      |
+|    0   N/A  N/A           23160    C+G   ...MiniMark\MiniMark.Windows.exe      N/A      |
+|    0   N/A  N/A           24684    C+G   ...5n1h2txyewy\TextInputHost.exe      N/A      |
+|    0   N/A  N/A           25424    C+G   ...8bbwe\PhoneExperienceHost.exe      N/A      |
+|    0   N/A  N/A           26464    C+G   ...yApp\MicrosoftSecurityApp.exe      N/A      |
+|    0   N/A  N/A           30740    C+G   ...xyewy\ShellExperienceHost.exe      N/A      |
+|    0   N/A  N/A           35676    C+G   ...indows\System32\ShellHost.exe      N/A      |
++-----------------------------------------------------------------------------------------+

evaluation/audit/int8-original/memory.jsonl

@@ -0,0 +1,43 @@
+{"label": "before_load", "pid": 27240, "allocated": 0, "reserved": 0, "peak": 0, "free_total": [32496418816, 34162016256]}
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+{"label": "before_encode_prompt", "pid": 27240, "allocated": 14524559872, "reserved": 17291018240, "peak": 14524559872, "free_total": [15041822720, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 716984}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_encode_prompt", "pid": 27240, "allocated": 17034643456, "reserved": 24872222720, "peak": 24782029824, "free_total": [5710135296, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_prepare_latents", "pid": 27240, "allocated": 17034643456, "reserved": 24872222720, "peak": 24782029824, "free_total": [5710135296, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 299352}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_prepare_latents", "pid": 27240, "allocated": 17717097472, "reserved": 26086473728, "peak": 24782029824, "free_total": [4497199104, 34162016256], "components": {"text_encoder": {"parameters": {"cuda:0/torch.bfloat16": 2499707360, "cuda:0/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 299352}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "before_decode", "pid": 27240, "allocated": 15489691136, "reserved": 24530386944, "peak": 24782029824, "free_total": [5996576768, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cuda:0/torch.bfloat16": 271605760, "cuda:0/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 535200}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_decode", "pid": 27240, "allocated": 15226883072, "reserved": 23490199552, "peak": 24782029824, "free_total": [7093473280, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 535200}}, "vae": {"parameters": {"cuda:0/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "edit_no_cache_end", "pid": 27240, "allocated": 14524807168, "reserved": 17360224256, "peak": 24782029824, "free_total": [14972616704, 34162016256], "components": {"text_encoder": {"parameters": {"cpu/torch.bfloat16": 2499707360, "cpu/torch.int8": 7517270016}, "bnb_state": {"CB/cuda:0/torch.int8": 7517270016, "SCB/cuda:0/torch.float32": 6829504, "idx/cuda:0/torch.int64": 718328}}, "transformer": {"parameters": {"cpu/torch.bfloat16": 271605760, "cpu/torch.int8": 6979321856}, "bnb_state": {"CB/cuda:0/torch.int8": 6979321856, "SCB/cuda:0/torch.float32": 5767168, "idx/cuda:0/torch.int64": 535200}}, "vae": {"parameters": {"cpu/torch.bfloat16": 675480808}, "bnb_state": {}}}}
+{"label": "after_delete", "pid": 27240, "allocated": 14524807168, "reserved": 17293115392, "peak": 24782029824, "free_total": [15039725568, 34162016256]}

evaluation/audit/int8-original/records.jsonl

@@ -0,0 +1,5 @@
+{"name": "edit_fresh", "seed": 42, "input_mode": "original", "kv_cache": true, "seconds": 44.307946700000684, "peak_allocated_bytes": 24777861120, "image_sha256": "79725e243ccfd82b5387beffe6e1f37193ce9137b576b2ec20e8543547dd9d33", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}
+{"name": "portrait", "seed": 42, "input_mode": "original", "kv_cache": true, "seconds": 20.410379099999773, "peak_allocated_bytes": 24547670016, "image_sha256": "e37187a2530d0f45378f17ca8fff47a7e174f1ce0c19ff89b9df8f4db1845acd", "input_sha256": null}
+{"name": "edit_repeat", "seed": 42, "input_mode": "original", "kv_cache": true, "seconds": 25.465576599999622, "peak_allocated_bytes": 24781505024, "image_sha256": "79725e243ccfd82b5387beffe6e1f37193ce9137b576b2ec20e8543547dd9d33", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}
+{"name": "edit_rgb", "seed": 42, "input_mode": "RGB", "kv_cache": true, "seconds": 24.87206530000003, "peak_allocated_bytes": 24782030848, "image_sha256": "d960f2abe6352c66f07735f408e3dfbd7519a895343f9fd520d90bdefd23262b", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}
+{"name": "edit_no_cache", "seed": 42, "input_mode": "original", "kv_cache": false, "seconds": 43.12784350000038, "peak_allocated_bytes": 24782029824, "image_sha256": "044657096db189dc8b8741ac96c59a3758944525e914ee338c32c2e8b3345f2b", "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"}

evaluation/audit/summary.json

@@ -0,0 +1,317 @@
+{
+  "process_isolation": [
+    {
+      "name": "bf16",
+      "launcher_pid": 7376,
+      "inference_pid": 25920,
+      "exit_code": 0,
+      "start_allocated_bytes": 0,
+      "inference_pid_absent_from_gpu_after_exit": true
+    },
+    {
+      "name": "int8",
+      "launcher_pid": 35376,
+      "inference_pid": 29636,
+      "exit_code": 0,
+      "start_allocated_bytes": 0,
+      "inference_pid_absent_from_gpu_after_exit": true
+    },
+    {
+      "name": "young_bf16",
+      "launcher_pid": 31516,
+      "inference_pid": 35212,
+      "exit_code": 0,
+      "start_allocated_bytes": 0,
+      "inference_pid_absent_from_gpu_after_exit": true
+    },
+    {
+      "name": "young_int8",
+      "launcher_pid": 5400,
+      "inference_pid": 11368,
+      "exit_code": 0,
+      "start_allocated_bytes": 0,
+      "inference_pid_absent_from_gpu_after_exit": true
+    }
+  ],
+  "original_and_corrected_identical_images": [
+    [
+      "",
+      "bf16",
+      "portrait",
+      42
+    ],
+    [
+      "",
+      "bf16",
+      "portrait",
+      123
+    ],
+    [
+      "",
+      "bf16",
+      "english_text",
+      42
+    ],
+    [
+      "",
+      "bf16",
+      "english_text",
+      123
+    ],
+    [
+      "",
+      "bf16",
+      "chinese_text",
+      42
+    ],
+    [
+      "",
+      "bf16",
+      "chinese_text",
+      123
+    ],
+    [
+      "",
+      "bf16",
+      "composition",
+      42
+    ],
+    [
+      "",
+      "bf16",
+      "composition",
+      123
+    ],
+    [
+      "",
+      "bf16",
+      "texture",
+      42
+    ],
+    [
+      "",
+      "bf16",
+      "texture",
+      123
+    ],
+    [
+      "",
+      "bf16",
+      "rgba",
+      42
+    ],
+    [
+      "",
+      "bf16",
+      "rgba",
+      123
+    ],
+    [
+      "",
+      "bf16",
+      "edit",
+      42
+    ],
+    [
+      "",
+      "bf16",
+      "edit",
+      123
+    ],
+    [
+      "",
+      "int8",
+      "portrait",
+      42
+    ],
+    [
+      "",
+      "int8",
+      "portrait",
+      123
+    ],
+    [
+      "",
+      "int8",
+      "english_text",
+      42
+    ],
+    [
+      "",
+      "int8",
+      "english_text",
+      123
+    ],
+    [
+      "",
+      "int8",
+      "chinese_text",
+      42
+    ],
+    [
+      "",
+      "int8",
+      "chinese_text",
+      123
+    ],
+    [
+      "",
+      "int8",
+      "composition",
+      42
+    ],
+    [
+      "",
+      "int8",
+      "composition",
+      123
+    ],
+    [
+      "",
+      "int8",
+      "texture",
+      42
+    ],
+    [
+      "",
+      "int8",
+      "texture",
+      123
+    ],
+    [
+      "",
+      "int8",
+      "rgba",
+      42
+    ],
+    [
+      "",
+      "int8",
+      "rgba",
+      123
+    ],
+    [
+      "",
+      "int8",
+      "edit",
+      42
+    ],
+    [
+      "",
+      "int8",
+      "edit",
+      123
+    ],
+    [
+      "young_woman",
+      "bf16",
+      "young_chinese_woman",
+      42
+    ],
+    [
+      "young_woman",
+      "bf16",
+      "young_chinese_woman",
+      123
+    ],
+    [
+      "young_woman",
+      "int8",
+      "young_chinese_woman",
+      42
+    ],
+    [
+      "young_woman",
+      "int8",
+      "young_chinese_woman",
+      123
+    ]
+  ],
+  "diagnostic_identical_images": [
+    "edit_fresh",
+    "portrait",
+    "edit_repeat",
+    "edit_rgb",
+    "edit_no_cache"
+  ],
+  "initial_peak": {
+    "bf16": 19.081242561340332,
+    "int8": 23.080156326293945
+  },
+  "corrected_peak": {
+    "bf16": 19.081242561340332,
+    "int8": 12.087220668792725
+  },
+  "load_peak": {
+    "bf16": 0.0,
+    "int8": 9.335469722747803
+  },
+  "native": {
+    "bf16": {
+      "name": "edit_native",
+      "seed": 42,
+      "input_mode": "original",
+      "kv_cache": true,
+      "width": 2048,
+      "height": 2048,
+      "steps": 40,
+      "cfg": 1.0,
+      "vae_tiling": true,
+      "seconds": 233.8040861999998,
+      "peak_allocated_bytes": 28467959296,
+      "image_sha256": "c551ac809ccb48146d1ad842d75975c0e9663d388a368010d2bfccb7883eeeec",
+      "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"
+    },
+    "int8": {
+      "name": "edit_native",
+      "seed": 42,
+      "input_mode": "original",
+      "kv_cache": true,
+      "width": 2048,
+      "height": 2048,
+      "steps": 40,
+      "cfg": 1.0,
+      "vae_tiling": true,
+      "seconds": 213.56440760000078,
+      "peak_allocated_bytes": 23243435008,
+      "image_sha256": "b6af18d8688bb2669632adf0cfae962bc34431e30e935014997010cde5c2ca59",
+      "input_sha256": "01e37e178fb0d35d5c706b7edd76bc1a6c5b50ec3536901a467fd45295d097aa"
+    }
+  },
+  "editing_conclusion_en": "At 1024px, enabling VAE tiling alone still produces excessive sharpening. At 2048px with the same tiling configuration, both BF16 and INT8 produce a red sweater while substantially preserving the soft lighting and natural skin texture. This controlled comparison supports resolution sensitivity in this editing case (including reference-image preprocessing). It does not identify a deeper model/pipeline cause or establish universal editing reliability.",
+  "editing_conclusion_zh": "1024px 下仅开启 VAE 分块仍过度锐化；2048px 配合同样的分块设置时，BF16 和 INT8 均生成红色毛衣，并较好保持柔和光线与自然皮肤质感。这一受控对照支持该编辑用例对分辨率敏感（包括参考图预处理分辨率），但尚未确定更深层的模型／流水线原因，也不能证明所有编辑任务均可靠。",
+  "images": [
+    {
+      "path": "input.png",
+      "en": "Shared input",
+      "zh": "两种精度共同输入"
+    },
+    {
+      "path": "int8-original/edit_fresh.png",
+      "en": "Fresh-process INT8, 1024px (failure reproduced)",
+      "zh": "新进程 INT8，1024px（复现失败）"
+    },
+    {
+      "path": "int8-original/edit_rgb.png",
+      "en": "1024px RGB input (not improved)",
+      "zh": "1024px RGB 输入（未改善）"
+    },
+    {
+      "path": "int8-original/edit_no_cache.png",
+      "en": "1024px KV cache off (not improved)",
+      "zh": "1024px 关闭 KV 缓存（未改善）"
+    },
+    {
+      "path": "int8-fixed/vae_roundtrip.png",
+      "en": "VAE-only round trip (no diffusion editing)",
+      "zh": "仅 VAE 编解码（未进行扩散编辑）"
+    },
+    {
+      "path": "int8-1024-tiled/edit_fresh.png",
+      "en": "1024px with VAE tiling (not improved)",
+      "zh": "1024px 加 VAE 分块（未改善）"
+    }
+  ],
+  "aborted_native_untiled": "Stopped owned diagnostic process during prolonged VAE decoding after board memory saturated; no completed output or timing.",
+  "profiler_note": "The early after_delete event retained bound-method references and is not evidence of process-exit cleanup. All process isolation claims use fresh startups and explicit subprocess exits."
+}

evaluation/bf16/environment.json

@@ -1,155 +1,172 @@
-{
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